A transfer learning approach to breast cancer classification in a federated learning framework
Artificial intelligence (AI) technologies have seen strong development. Many applications
now use AI to diagnose breast cancer. However, most new research has only been …
now use AI to diagnose breast cancer. However, most new research has only been …
Distributed Split Computing System in Cooperative Internet of Things (IoT)
SY Kim, H Ko - IEEE Access, 2023 - ieeexplore.ieee.org
The split computing approach, where the head and tail models are respectively distributed
between the IoT device and cloud, suffers from high network latency especially when the …
between the IoT device and cloud, suffers from high network latency especially when the …
Safety Is Our Friend: A Federated Learning Framework Toward Driver's State and Behavior Detection
“Safety is our friend, accidents our enemy” is the propaganda social information on traffic
safety in several countries. This proves that safety is a top priority when using vehicles when …
safety in several countries. This proves that safety is a top priority when using vehicles when …
Split and Federated Learning with Mobility in Vehicular Edge Computing
S Moon, Y Lim - 2023 IEEE/ACIS 21st International Conference …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a promising technology to support vehicular applications
that leverage machine learning (ML) technology. Due to limited resources of the vehicle, the …
that leverage machine learning (ML) technology. Due to limited resources of the vehicle, the …
AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications
The study discusses challenges in deploying Artificial Intelligence (AI) on Internet-of-Things
(IoT) devices and introduces a solution called Adaptive Offloading Point (AOP) for Federated …
(IoT) devices and introduces a solution called Adaptive Offloading Point (AOP) for Federated …